Q: When the larger values of the standard deviation result in a normal curve that narrower and more peak?

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The standard deviation in a standard normal distribution is 1.

The standard deviation in a standard normal distribution is 1.

with mean of and standard deviation of 1.

A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.

Because the standard deviation is one of the two parameters (the other being the mean) which define the Normal curve. The mean defines the location and the standard deviation defines its shape.

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The standard deviation in a standard normal distribution is 1.

The standard deviation in a standard normal distribution is 1.

The standard deviation of a normal deviation is the square root of the mean, also the square root of the variance.

Mean 0, standard deviation 1.

Mean = 0 Standard Deviation = 1

with mean of and standard deviation of 1.

The distance between the middle and the inflection point is the standard deviation.

The standard normal distribution has a mean of 0 and a standard deviation of 1.

A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.

Because the standard deviation is one of the two parameters (the other being the mean) which define the Normal curve. The mean defines the location and the standard deviation defines its shape.

It is the Standard normal variable.

No.